https://github.com/dataprofessor/langchain-text-summarization

Text Summarization App built using Langchain and Streamlit
https://github.com/dataprofessor/langchain-text-summarization

langchain langchain-python large-language-models llm streamlit

Last synced: 7 days ago
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Text Summarization App built using Langchain and Streamlit

• Host: GitHub
• URL: https://github.com/dataprofessor/langchain-text-summarization
• Owner: dataprofessor
• Created: 2023-05-16T12:05:47.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-11-06T18:24:34.000Z (3 months ago)
• Last Synced: 2025-01-16T16:14:32.441Z (14 days ago)
• Topics: langchain, langchain-python, large-language-models, llm, streamlit
• Language: Python
• Homepage: https://langchain-text-summarization.streamlit.app/
• Size: 428 KB
• Stars: 29
• Watchers: 2
• Forks: 44
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🦜🔗 Langchain - Text Summarization App

```

Text Summarization App built using Langchain and Streamlit

```

## Overview of the App



- Accepts a paragraph of text as the input text (to be summarized) using Streamlit's `st.text_input()`

- Text is split into chunks via `CharacterTextSplitter()` along with its `split_text()` method

- Document is generated via `Document()

- Text summarization is achieved using `load_summarize_chain()` by applying the `run()` method on the input `docs`.

## Demo App

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://langchain-text-summarization.streamlit.app/)

## Get an OpenAI API key

You can get your own OpenAI API key by following the following instructions:

1. Go to https://platform.openai.com/account/api-keys.

2. Click on the `+ Create new secret key` button.

3. Next, enter an identifier name (optional) and click on the `Create secret key` button.